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| Server IP : 52.223.31.75 / Your IP : 172.31.32.98 [ Web Server : Apache/2.4.66 () OpenSSL/1.0.2k-fips PHP/7.4.33 System : Linux ip-172-31-14-81.eu-central-1.compute.internal 4.14.281-212.502.amzn2.x86_64 #1 SMP Thu May 26 09:52:17 UTC 2022 x86_64 User : apache ( 48) PHP Version : 7.4.33 Disable Function : NONE Domains : 4 Domains MySQL : OFF | cURL : ON | WGET : ON | Perl : ON | Python : ON | Sudo : ON | Pkexec : OFF Directory : /lib/python2.7/site-packages/awscli/examples/iotanalytics/ |
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**Create an IoT Analytics Pipeline**
The following ``create-pipeline`` example creates a pipeline. A pipeline consumes messages from a channel and allows you to process the messages before storing them in a data store. You must specify both a channel and a data store activity and, optionally, as many as 23 additional activities in the ``pipelineActivities`` array. ::
aws iotanalytics create-pipeline \
--cli-input-json file://create-pipeline.json
Contents of ``create-pipeline.json``::
{
"pipelineName": "mypipeline",
"pipelineActivities": [
{
"channel": {
"name": "myChannelActivity",
"channelName": "mychannel",
"next": "myMathActivity"
}
},
{
"datastore": {
"name": "myDatastoreActivity",
"datastoreName": "mydatastore"
}
},
{
"math": {
"name": "myMathActivity",
"math": "((temp - 32) * 5.0) / 9.0",
"attribute": "tempC",
"next": "myDatastoreActivity"
}
}
],
"tags": [
{
"key": "Environment",
"value": "Beta"
}
]
}
Output::
{
"pipelineArn": "arn:aws:iotanalytics:us-west-2:123456789012:pipeline/mypipeline",
"pipelineName": "mypipeline"
}
For more information, see `CreatePipeline <https://docs.aws.amazon.com/iotanalytics/latest/APIReference/API_CreatePipeline.html>`__ in the *AWS IoT Analytics API Reference*.